Jamera

girls:

389 births since 1982

#5327 (7th percentile)

overall:

389 births since 1982

#7350 (5th percentile)

Popularity Trends

This chart shows the total number of births per million babies in each year for the name "Jamera".

1982 2023 19822023

Key Statistics

Total Births
389
Peak Births
24
Peak Year
1999
First Recorded
1982
Peak Percentile
2.1%
Current Percentile
0.2%
Peak Rank
#793
Current Rank
#945
Female statistics

How to Pronounce Jamera

Our model has identified 3 different pronunciations for the name Jamera. Click the play button next to the name to hear the pronunciation spoken aloud.

Our model is 68.6% confident that Jamera is pronounced as juh-MEH-ruh. The next most likely pronunciation is juh-MEE-ruh, at 20.0% confidence.

juh-MEH-ruh (3 syllables)
68.6% confidence
JH AH0 M EH1 R AH0

Possible Additional Pronunciations

These are pronunciations that other similar names use, but which are not currently associated with Jamera. If you think any of these are valid pronunciations for Jamera, please vote using the thumbs up button.

juh-MAI-ruh (3 syllables)
10 names 2.8k births
JH AH0 M AY1 R AH0
juh-MAH-ruh (3 syllables)
3 names 1k births
JH AH0 M AA1 R AH0

About Pronunciation Data

Our confidence scores estimate the likelihood that a particular pronunciation is the most correct for a given name spelling. These scores are derived from pronunciation dictionaries, manual verification, your feedback, and a fine-tuned large language model trained to generate name pronunciations.

For any given spelling, confidence scores across all identified pronunciations sum to 100%. However, these scores don't account for the possibility of valid pronunciations that our model hasn't identified.

The raw pronunciations shown (like JH AH0 M EH1 R AH0) use the ARPAbet phoneme system, a standardized way to represent English speech sounds. Each symbol represents a distinct sound in American English. Visit the ARPAbet Wikipedia page to learn more about these phonetic symbols.

Pronunciation audio is generated by an open source text to speech model that has been customized to adhere to pronunciations provided in ARPAbet format, but sometimes pronunciations that differ subtly will sound identical, particularly if the only difference is the level of emphasis on a syllable or a single vowel sound.